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TEC
2002
120views more  TEC 2002»
13 years 7 months ago
Optimization based on bacterial chemotaxis
We present an optimization algorithm based on a model of bacterial chemotaxis. The original biological model is used to formulate a simple optimization algorithm, which is evaluate...
Sibylle D. Müller, Jarno Marchetto, Stefano A...
ECML
2007
Springer
14 years 1 months ago
Multi-objective Genetic Programming for Multiple Instance Learning
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
Amelia Zafra, Sebastián Ventura
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
14 years 1 months ago
MUSEMBLE: A Music Retrieval System Based on Learning Environment
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
EVOW
2004
Springer
14 years 23 days ago
A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem
Abstract. The implementation of an evolutionary algorithm necessarily involves the selection of an appropriate set of genetic operators. For many real-world problem domains, an inc...
Wouter Boomsma
GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
14 years 6 days ago
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
Mirela Ovreiu, Dan Simon